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It governance in the public sector: a conceptual model

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Abstract

Information technology governance (ITG) has been identified as an organizational ability of great importance for IT strategic alignment and the delivery of business though IT. However, the results and contribution of ITG are poorly understood. This work presents an explanatory model of the effects of IT governance mechanisms on IT and organizational performance of public organizations. To test the model, data was collected from a survey conducted in 146 Brazilian public organizations. Partial least squares analysis was applied to test the proposed model. The results indicate that (i) IT performance is positively correlated with organizational performance, (ii) relational mechanisms between IT and a business are determinant factors for the performance of IT, and also positively correlated with organizational performance, and (iii), decision structure and process maturity are not significantly correlated with IT performance.

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Notes

  1. COBIT is a framework for the governance and management of enterprise IT developed by The Information System Audit and Control Association (ISACA). It is designed as an educational resource to guide professionals to design an approach to govern and manage information technology in organizations.

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Authors and Affiliations

  1. Instituto Federal de Educação, Ciência e Tecnologia de Minas Gerais - Campus Formiga, Rua Padre Alberico, 440, São Luiz, Formiga, MG, 35570-000, Brazil

    Adriano Olímpio Tonelli

  2. Department of Computer Science, Universidade Federal de Lavras, Lavras, Minas Gerais, 37200-000, Brazil

    Paulo Henrique de Souza Bermejo, Pâmela Aparecida dos Santos, Larissa Zuppo & André Luiz Zambalde

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  1. Adriano Olímpio Tonelli
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  2. Paulo Henrique de Souza Bermejo
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  3. Pâmela Aparecida dos Santos
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  4. Larissa Zuppo
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  5. André Luiz Zambalde
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Correspondence to Adriano Olímpio Tonelli.

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Tonelli, A.O., de Souza Bermejo, P.H., Aparecida dos Santos, P. et al. It governance in the public sector: a conceptual model. Inf Syst Front 19, 593–610 (2017). https://doi.org/10.1007/s10796-015-9614-x

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